• International Commerce and Information Review
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• v.9 no.2
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• pp.231-253
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• 2007

This paper intends to develop an performance evaluation framework of e-trade. The Korea e-trade has been largely attracting many research communities because it brings about e-trade platform which is happening at the early stage of information system maturity. It is true that many research works have been focusing on development issues in e-trade but not much works have been done in e-trade performance study. This paper suggests an e-trade performance framework based on both field and literatures surveys. In addition, an factor analysis model has been introduced to determine that the suggested factors are empirically supporting the hypotheses in the model. Since this paper is opening up many research issues in e-trade performance study many research group could participate in this research area.

• Journal of KIBIM
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• v.12 no.4
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• pp.52-60
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• 2022

Recently, the demand for connection between various heterogeneous dataset and BIM as a construction data model hub is increasing. In the past, in order to connect model between BIM and heterogeneous dataset, related dataset was stored in the RDBMS, and the service was provided by programming a method to link with the BIM object. This approach causes problems such as the need to modify the database schema and business logic, and the migration of existing data when requirements change. This problem adversely affects the scalability, reusability, and maintainability of model information. This study proposes an ontology BIM-based knowledge service framework considering the connectivity and scalability between BIM and heterogeneous dataset. Through the proposed framework, ontology BIM mapping, semantic information query method for linking between knowledge-expressing dataset and BIM are presented. In addition, to identify the effectiveness of the proposed method, the prototype is developed. Also, the effectiveness and considerations of the ontology BIM-based knowledge service framework are derived.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2782-2805
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• 2018

We present a legorization framework that produces a LEGO model from user-specified 3D mesh model. Our framework is composed of two stages: voxelization and legorization. In the voxelization, input 3D mesh is converted to a voxel model. To preserve the shape of the 3D mesh, we devise a silhouette fitting process for the initial voxel model. For legorization, we propose three objectives: stability, aesthetics and efficiency. These objectives are expressed in a tiling equation, which builds a LEGO model using layer-by-layer approach. We legorize five models including characters and buildings to prove the excellence of our framework.

• Journal of Korea Technology Innovation Society
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• v.4 no.3
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• pp.291-310
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• 2001

This is a study on the success factors of Korean CDMA industry through a new analytical framework. Korean CDMA industry is a sample for successfully developing technologies and securing competitive advantages in the world market. The new analytical framework is based urn technological innovation model and competitive advantage model. The success factors of CDMA are analyzed from policy. technology, corporation and market paint of view and the causality between them is studied.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.754-756
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• 2001

현재 인터넷 사용자의 증가와 더불어 사용자들이 원하는 서비스가 다양해짐에 따라 기존의 Best effort 서비스로는 사용자들이 요구하는 응용 서비스들을 제대로 지원할 수가 없게되었고, 이에 IETF(Internet Engineering Task Force)애서는 사용들의 QoS 제공을 위해 Integrated service model과 Differential service model이 제안되었다. 그러나 소규모 망에서 적용 가능한 Intserv와 대규모 망에서 사용적절한 Diffserv망의 service 방식이 다르기 때문에 End-to-End간에 QoS 제공을 위해서는 이에 대한 망의 연동이 필요하다. 본 논문에서는 두 망간의 연동을 위한 Framework을 제안하였다.

• Journal of Digital Contents Society
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• v.2 no.1
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• pp.21-30
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• 2001

This paper presents the automated component generation system to support development of web application by the Model 2 framework on distributed environment. Model 2 framework is based on MVC(Model View Controller) model and this model capsulate the functionality of web application and have the benefits like extensibility, maintainability, resuability. In this paper, we propose a framework which is adapted in JSP environment and implement the automated component generation system. This system can efficiently utilized for web application development which require extensibility, maintainability, resuability as well as rapid web application development.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.111-120
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• 1999

Although the concept of viewing knowledge as a critical resource has been widely accepted in prior studies, it is not fully understood how to acquire available knowledge in order to improve organizational effectiveness. However, it si sure that organizational knowledge management should pursuit the achievement of the business goal by delivering relevant and useful information to the right person at the right time. Group Support System (GSS) can play an important role to transfer scatter information into meaningful business knowledge for supporting strategic corporate decision-making. This study proposes a fuzzy GSS framework for acquiring workgroup knowledge from individual memory and aggregating workgroup knowledge to organizational knowledge. This study also proposes an architecture to support the fuzzy GSS framework. The architecture consists of user agents, information management agents, and a fuzzy model manager. To illustrate how the fuzzy GSS framework can be used to support the whole process of organization knowledge acquisition, an Internet-based GSS was developed and applied in a marketing decision process. It showed that the framework was effective for acquiring organizational knowledge.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.124-129
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• 2006

With the explosive increase in the generation and utilization of spatiotemporal data sets, many research efforts have been focused on the efficient handling of the large volume of spatiotemporal sets. With the remarkable growth of ubiquitous computing technology, mining from the huge volume of spatiotemporal data sets is regarded as a core technology which can provide real world applications with intelligence. In this paper, we propose a 3-tier knowledge discovery framework for spatiotemporal data mining. This framework provides a foundation model not only to define the problem of spatiotemporal knowledge discovery but also to represent new knowledge and its relationships. Using the proposed knowledge discovery framework, we can easily formalize spatiotemporal data mining problems. The representation model is very useful in modeling the basic elements and the relationships between the objects in spatiotemporal data sets, information and knowledge.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.125-125
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• 1991

This paper presents a framework for the hierarchical PPC(Production Planning and Control) in make-to-order environment with job shop. The characteristics of the environment are described as : 1) project with non-repetitive and individual production, 2) short delivery date, 3) process layout with large scales manufacturing. 4) job shops. The PPC in a make-to-order typically are organized along hierarchical fashions. A model is proposed for the hierarchical job shop scheduling based on new concepts of production system, work and worker organization. Then, a new integrated hierarchical framework is also developed for the PPC based on concepts of the proposed job shops scheduling model. Finally, the proposed framework has been implemented in the Electric Motor Manufacturing and the results showed good performance.